Data-driven decision making in Wānaka.
A dashboard is where a decision goes to wait. The useful version reaches the person while they can still act.
Small crew or big organisation, the busywork is the same :)
Quotes with GST, consent paperwork, LBP records and health and safety logs: the admin every New Zealand trade business carries.
*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.
Wānaka businesses gear up for ski season from June, then summer visitors. We automate rostering, bookings and guest messages so small teams handle big weeks.
How it works in Wānaka
We find the one workflow costing Wānaka businesses the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.
An AI agency, minus the theatre.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
What data-driven decision making means here
Most businesses do not have a data problem, they have an action problem: the number exists, nobody sees it in time, and nothing happens. We close the gap between the number and the decision.
- One number per decision, in front of the person who makes it
- Alerts on the change, not a dashboard nobody opens
- Ask the database in plain English and get a sourced answer
- Decisions logged, so you can tell later whether the call was right
What Wānaka runs on.
Wānaka's visitor economy centres on its lakes, mountains and ski areas, Cardrona, Treble Cone and Snow Farm, which operate from June to October.
Lake Wanaka Tourism has more than 450 member businesses. Ski areas operate from June to October.
Questions Wānaka businesses ask
Where do you start?
With the workflow costing the most time or the most leads. A dashboard is where a decision goes to wait. The useful version reaches the person while they can still act.
What does this look like for a Wānaka business?
Wānaka has the boom-and-shoulder rhythm of a lifestyle town - AI here helps small teams handle big seasonal swings without burning out. We scope one workflow, ship it to production, and prove the return before expanding.
Do you actually work on data-driven decision making?
Most businesses do not have a data problem, they have an action problem: the number exists, nobody sees it in time, and nothing happens. We close the gap between the number and the decision.
Can AI help with payday filing?
It can prepare it. Employers file employment information every payday, within 2 working days when filing electronically, and automation can have it ready for a person to check.
Do you work with Xero?
Yes. Xero is one of the systems we build around, and we connect to the other tools you already run rather than asking you to switch.
Talk to us about data-driven decision making
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Tell us what you're trying to do and we'll reply with how we'd build it, no obligation.
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